Showing 62 open source projects for "python basic project"

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  • 1
    The Algorithms Python

    The Algorithms Python

    All Algorithms implemented in Python

    The Algorithms-Python project is a comprehensive collection of Python implementations for a wide range of algorithms and data structures. It serves primarily as an educational resource for learners and developers who want to understand how algorithms work under the hood. Each implementation is designed with clarity in mind, favoring readability and comprehension over performance optimization.
    Downloads: 5 This Week
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  • 2
    bild

    bild

    Image processing algorithms in pure Go

    A collection of parallel image processing algorithms in pure Go. The aim of this project is simplicity in use and development over absolute high performance, but most algorithms are designed to be efficient and make use of parallelism when available. It uses packages from the standard library whenever possible to reduce dependency use and development abstractions. All operations return image types from the standard library.
    Downloads: 7 This Week
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  • 3
    All RL Algorithms from Scratch

    All RL Algorithms from Scratch

    Implementation of all RL algorithms in a simpler way

    All RL Algorithms from Scratch is an educational reinforcement learning repository built around readable Python and Jupyter Notebook implementations. Its goal is to help learners understand how major reinforcement learning algorithms work under the hood instead of hiding the logic behind large frameworks. The project includes notebooks for value-based methods, policy-gradient methods, actor-critic algorithms, model-based learning, multi-agent reinforcement learning, planning, and hierarchical approaches. ...
    Downloads: 2 This Week
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  • 4
    PRML

    PRML

    PRML algorithms implemented in Python

    PRML repository is a respected and well-maintained project that implements the foundational algorithms from the famous textbook Pattern Recognition and Machine Learning by Christopher M. Bishop, providing a practical and accessible Python reference for both students and professionals. Rather than just summarizing concepts, the repository includes working code that demonstrates linear regression and classification, kernel methods, neural networks, graphical models, mixture models with EM algorithms, approximate inference, and sequential data methods — all following the book’s structure and notation. ...
    Downloads: 0 This Week
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  • 5
    X's Recommendation Algorithm

    X's Recommendation Algorithm

    Source code for the X Recommendation Algorithm

    The Algorithm is Twitter’s open source release of the core ranking system that powers the platform’s home timeline. It provides transparency into how tweets are selected, prioritized, and surfaced to users, reflecting Twitter’s move toward openness in recommendation algorithms. The repository contains the recommendation pipeline, which incorporates signals such as engagement, relevance, and content features, and demonstrates how they combine to form ranked outputs. Written primarily in...
    Downloads: 0 This Week
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  • 6
    3D Box rotation

    3D Box rotation

    Simple example of draw and rotate 3D box

    Simple source .java file; .bat for fast re-compile and run; and pre-compiled .jar Java program with example from scratch writed in Notepad++ without Eclipse, etc., How to draw and rotate 3D box most simple way. Rotation speed regulated in simple Loop with 10 ms sleep. Use Java version 8 (OpenJDK 8, OracleJDK 8, OracleJRE 8, ..). Higher versions have an anti-aliasing error in the BufferedImage ( Windows 10 ). Python version with tkinter and math imports. Including calculated faces,...
    Downloads: 0 This Week
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  • 7
    Evolutionary Algorithm

    Evolutionary Algorithm

    Evolutionary Algorithm using Python

    ...Users can explore basic genetic algorithm setups, match phrase examples, pathfinding challenges, and microbial GA variants, as well as evolution strategy approaches like NES. The project also links classical evolutionary approaches with neural networks, illustrating how evolution can be used for model training in reinforcement learning and supervised contexts.
    Downloads: 0 This Week
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  • 8
    forevalz

    forevalz

    ForevalZ - compiler of mathematical expressions with complex numbers

    ForevalZ - compiler of mathematical expressions(formulas) with support of complex numbers (directly to CPU/FPU x86-32 comand) given as string at 'run-time'. (dll library and delphi component). Can be compiled in FPC (Lazarus). Examples for Delphi (2009), FPC , C++(Builder(2009), MSVC(2010), GCC (Codeblock)), VB.NET, VB6, FreeBasic. Demo: Fractals Julia; Visualizing of functions of complex variable - complex domain coloring . (math parser, math expression parser, evaluate formula,...
    Downloads: 0 This Week
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  • 9
    TorBot

    TorBot

    Dark Web OSINT Tool

    Contributions to this project are always welcome. To add a new feature fork the dev branch and give a pull request when your new feature is tested and complete. If its a new module, it should be put inside the modules directory. The branch name should be your new feature name in the format <Feature_featurename_version(optional)>. On Linux platforms, you can make an executable for TorBot by using the install.sh script. You will need to give the script the correct permissions using chmod +x...
    Downloads: 0 This Week
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  • 10
    hello-algorithm

    hello-algorithm

    Algorithm training for Xiaobai

    hello-algorithm is an educational repository designed to teach data structures and algorithms through clear explanations, visualizations, and code examples. It provides a structured learning path that covers fundamental concepts such as arrays, linked lists, trees, graphs, sorting algorithms, and dynamic programming. The project emphasizes understanding over memorization by breaking down complex topics into intuitive explanations supported by diagrams and examples. It is accessible to...
    Downloads: 0 This Week
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  • 11

    Combinations Algorithm

    Documentation and coding for the generation of combinations

    This project comprises documentation and VBA programming code in respect of a combinations algorithm that I have written. The algorithm is in the Excel file named Combinations.xlsm and the documentation that explains how to use interface and execution of the algorithm is in the pdf file called Combinations.pdf You will need to enable macros in Excel in order to run the algorithm.
    Downloads: 0 This Week
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  • 12

    Build & Lexigraphical Permutations

    Documentation of two types of permutation algorithms

    This project provides documentation on two different approaches to permutations. Permutations can be generated by building them or by transposing characters between different character positions. My project addresses the efficiency between CPU speed and memory usage for generating unique permutations from input source texts that have repeated characters. The challenge is to create an efficient algorithm that can have the capacity to permutate sources texts that are hundreds and thousands...
    Downloads: 0 This Week
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  • 13
    Real-ESRGAN

    Real-ESRGAN

    Real-ESRGAN aims at developing Practical Algorithms

    ...The repository includes inference and training scripts, a model zoo with different pretrained models (including general and anime-oriented variants), and support for batch and arbitrary scaling, making it adaptable for diverse enhancement tasks. It emphasizes usability with utilities that handle alpha channels, gray/16-bit images, and tiled inference for large inputs, and can be run via Python scripts or portable executables.
    Downloads: 219 This Week
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  • 14
    Reinforcement-learning

    Reinforcement-learning

    Implementation of Reinforcement Learning Algorithms. Python, OpenAI

    Reinforcement-learning is a widely used educational repository that provides implementations, exercises, and solutions for a broad range of reinforcement learning algorithms, designed to complement foundational texts and courses in the field. The project collects popular approaches such as dynamic programming, Monte Carlo methods, temporal difference learning, Q-learning, SARSA, deep Q-networks, and policy gradient techniques, often demonstrated with Python and OpenAI Gym environments so users can experiment with agents learning in simulated tasks. For each algorithm category, the repository pairs conceptual descriptions with runnable code and often illustrated exercises that help solidify understanding by bridging theory with practice. ...
    Downloads: 0 This Week
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  • 15
    AlphaTensor

    AlphaTensor

    AI discovers faster, efficient algorithms for matrix multiplication

    ...Users can explore AlphaTensor’s discovered algorithms interactively using Colab notebooks or Python scripts.
    Downloads: 0 This Week
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  • 16
    go-algorithms

    go-algorithms

    Algorithms and data structures for golang

    go-algorithms is an open-source educational repository that provides implementations of common algorithms and data structures written in the Go programming language. The project is designed primarily as a learning resource to help developers understand how fundamental computer science concepts can be implemented idiomatically in Go. It includes a wide range of classic sorting, searching, and numerical algorithms alongside basic collection structures such as stacks, queues, linked lists, and binary trees. ...
    Downloads: 0 This Week
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  • 17

    TA-Lib.git: Technical Analysis Library

    Mirror of the TA-Lib project using a Git repository

    This project is intended to provide Git access to the code of the original project, TA-Lib, which uses Subversion. It is intended for system integrators wishing to use TA-Lib in their Git-managed project through Git submodules or subtrees. No actual development is being done here; all development happens in the original project.
    Downloads: 0 This Week
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  • 18
    Zipline

    Zipline

    Zipline, a Pythonic algorithmic trading library

    ...Quantopian also offers a fully managed service for professionals that includes Zipline, Alphalens, Pyfolio, FactSet data, and more. Installing Zipline is slightly more involved than the average Python package. For a development installation (used to develop Zipline itself), create and activate a virtualenv, then run the etc/dev-install script. Please note that Zipline is not a community-led project. Zipline is maintained by the Quantopian engineering team, and we are quite small and often busy.
    Downloads: 0 This Week
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  • 19
    Consistent Depth

    Consistent Depth

    We estimate dense, flicker-free, geometrically consistent depth

    Consistent Depth is a research project developed by Facebook Research that presents an algorithm for reconstructing dense and geometrically consistent depth information for all pixels in a monocular video. The system builds upon traditional structure-from-motion (SfM) techniques to provide geometric constraints while integrating a convolutional neural network trained for single-image depth estimation. During inference, the model fine-tunes itself to align with the geometric constraints of a...
    Downloads: 0 This Week
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  • 20
    DEBay

    DEBay

    Deconvolutes qPCR data to estimate cell-type-specific gene expression

    DEBay: Deconvolution of Ensemble through Bayes-approach DEBay estimates cell type-specific gene expression by deconvolution of quantitative PCR data of a mixed population. It will be useful in experiments where the segregation of different cell types in a sample is arduous, but the proportion of different cell types in the sample can be measured. DEBay uses the population distribution data and the qPCR data to calculate the relative expression of the target gene in different cell types in...
    Downloads: 6 This Week
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  • 21
    PythonRobotics

    PythonRobotics

    Python sample codes and textbook for robotics algorithms

    PythonRobotics is a Python code collection and textbook for learning robotics algorithms through readable examples. It covers practical topics such as localization, mapping, path planning, path tracking, control, SLAM, and autonomous navigation. The project is written to make each algorithm’s core idea easy to understand, rather than hiding the logic behind large frameworks.
    Downloads: 0 This Week
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  • 22
    Data Algorithm/leetcode/lintcode

    Data Algorithm/leetcode/lintcode

    Data Structure and Algorithm notes

    This work is some notes of learning and practicing data structures and algorithms. Part I is a brief introduction of basic data structures and algorithms, such as, linked lists, stack, queues, trees, sorting and etc. This book notes about learning data structure and algorithms. It was written in Simplified Chinese but other languages such as English and Traditional Chinese are also working in progress.
    Downloads: 0 This Week
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  • 23
    pyhanlp

    pyhanlp

    Chinese participle

    ...The project focuses on making HanLP’s capabilities accessible through a Python-friendly API surface, so you can integrate NLP steps into data pipelines, notebooks, and downstream ML or information-extraction code. In practice, it serves as a bridge layer: Python calls are translated into the corresponding HanLP operations, so you can keep your application logic in Python while relying on HanLP’s implementations.
    Downloads: 0 This Week
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  • 24
    leet

    leet

    Leet is CCEx's software application for on-the-fly encryption (OTFE).

    The name leet stands for "Linux exquisite encryption tool", it will be a software application for on-the-fly encryption, similar in its functionality to TrueCrypt. The goal of leet however is to be simpler and as user friendly as possible, making encryption and securing of information accessible to anybody, even those who don't necessarily have any prior knowledge of data securing, algorithms and encryption. However it's not targeted at this group of users only, part of the ambition of...
    Downloads: 0 This Week
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  • 25

    CodilitySolutions

    Solved training lessons from website codility.com

    This project contains solutions for all training lessons that can be found on website codility.com: https://codility.com/programmers/lessons/ The solutions are written in programming language C, because I presumed that it is the most basic language anyone can easily understand and the fact that many other languages have a basis in C means the code can be easily rewritten in that language.
    Downloads: 0 This Week
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